E-3 Visa Sre Engineer Jobs
SRE Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, software engineering, or a related field. The E-3 has no lottery and no annual cap, making it far more predictable than the H-1B visa for Australian engineers targeting U.S. infrastructure and reliability teams.
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Get Access To All JobsINTRODUCTION
Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline focused on designing, building, and operating large-scale production systems with exceptional efficiency, resilience, and availability. It combines software and systems engineering practices with deep expertise across distributed systems, networking, cloud infrastructure, Kubernetes, databases, capacity management, continuous delivery, and observability. SRE at NVIDIA ensures that our internal and external services achieve their reliability and performance objectives while enabling developers to deliver changes safely and rapidly. Our engineers automate repetitive operational work, improve system performance, build scalable platforms, and continuously strengthen the reliability of production environments.
As a Principal SRE, you will shape the technical direction of NVIDIA’s AI Platform Runtime and lead reliability engineering initiatives spanning multiple organizations. You will solve complex, ambiguous problems at enterprise scale, establish architectural standards, and influence how teams design and operate critical AI-powered services. You will also advance the use of AI agents and skills to transform platform operations and developer productivity. Our SRE culture values intellectual curiosity, diversity of thought, collaboration, and learning through blameless analysis. We encourage engineers to think boldly, take thoughtful risks, and lead meaningful improvements across organizational boundaries.
ROLE AND RESPONSIBILITIES:
- Define and drive the long-term technical vision, architecture, and roadmap for reliability across NVIDIA’s AI Platform Runtime and related enterprise systems.
- Architect highly available, resilient, secure, and scalable distributed platforms that power NVIDIA’s next-generation AI-driven products and services.
- Lead the design and development of AI agents, AI skills, and intelligent automation that accelerate platform operations, incident response, troubleshooting, and remediation.
- Establish platform-wide reliability standards, including service-level objectives, error budgets, capacity models, resilience patterns, and operational readiness requirements.
- Identify systemic risks and lead cross-functional programs that improve availability, scalability, performance, security, and developer productivity.
- Advance observability across complex distributed environments through OpenTelemetry, metrics, logs, traces, profiling, analytics, and automated anomaly detection.
- Partner with senior leaders and engineers across Cloud, Platform, Security, Networking, and AI/ML organizations to make high-impact architectural and investment decisions.
- Provide technical leadership during critical incidents and ensure that lessons from incidents translate into durable engineering and organizational improvements.
- Develop reference architectures, shared platform capabilities, and automation frameworks that can be adopted across multiple engineering organizations.
- Influence, mentor, and raise the technical bar for senior engineers and technical leaders throughout the company.
BASIC QUALIFICATIONS:
- 15+ years of experience in Site Reliability Engineering, Platform Engineering, Distributed Systems, Cloud Architecture, or related infrastructure engineering roles.
- BS or MS degree in Computer Science or a related technical field involving significant software development, or equivalent experience.
- Demonstrated experience setting technical strategy and leading large-scale engineering initiatives across multiple teams or organizations.
- Deep expertise in distributed systems architecture, networking, Linux, Kubernetes, and public cloud platforms such as AWS, Azure, or GCP.
- Strong proficiency in one or more programming languages such as Python, Go, TypeScript, JavaScript, or Java, with experience building production-grade automation and platform software.
- Extensive experience with infrastructure-as-code and platform automation technologies such as Terraform, Crossplane, AWS CDK, AWS CloudFormation, or equivalent tools.
- Deep understanding of observability at scale, including OpenTelemetry and modern metrics, logging, tracing, profiling, and analytics platforms.
- Expertise in reliability engineering practices, including service-level objectives, error budgets, capacity planning, fault tolerance, disaster recovery, incident management, and blameless postmortems.
- A track record of delivering measurable improvements in availability, performance, operational efficiency, or engineering productivity within complex environments.
- Outstanding technical judgment, communication, and collaboration skills, with the ability to influence senior stakeholders across technical and organizational boundaries.
PREFERRED QUALIFICATIONS:
- Experience designing or operating large-scale AI/ML platforms, GPU infrastructure, inference systems, training environments, or high-performance computing platforms.
- Hands-on experience building AI agents, agentic workflows, or intelligent automation for infrastructure and production operations.
- Demonstrated success establishing reliability architecture and engineering standards adopted across a large enterprise.
- Experience applying machine learning, analytics, or advanced automation to capacity management, anomaly detection, incident response, or autonomous remediation.
- Recognized technical leadership through patents, publications, open-source contributions, industry standards, conference presentations, or widely adopted internal platforms.
COMPENSATION
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 396,750 USD.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 12, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
INTRODUCTION
Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline focused on designing, building, and operating large-scale production systems with exceptional efficiency, resilience, and availability. It combines software and systems engineering practices with deep expertise across distributed systems, networking, cloud infrastructure, Kubernetes, databases, capacity management, continuous delivery, and observability. SRE at NVIDIA ensures that our internal and external services achieve their reliability and performance objectives while enabling developers to deliver changes safely and rapidly. Our engineers automate repetitive operational work, improve system performance, build scalable platforms, and continuously strengthen the reliability of production environments.
As a Principal SRE, you will shape the technical direction of NVIDIA’s AI Platform Runtime and lead reliability engineering initiatives spanning multiple organizations. You will solve complex, ambiguous problems at enterprise scale, establish architectural standards, and influence how teams design and operate critical AI-powered services. You will also advance the use of AI agents and skills to transform platform operations and developer productivity. Our SRE culture values intellectual curiosity, diversity of thought, collaboration, and learning through blameless analysis. We encourage engineers to think boldly, take thoughtful risks, and lead meaningful improvements across organizational boundaries.
ROLE AND RESPONSIBILITIES:
- Define and drive the long-term technical vision, architecture, and roadmap for reliability across NVIDIA’s AI Platform Runtime and related enterprise systems.
- Architect highly available, resilient, secure, and scalable distributed platforms that power NVIDIA’s next-generation AI-driven products and services.
- Lead the design and development of AI agents, AI skills, and intelligent automation that accelerate platform operations, incident response, troubleshooting, and remediation.
- Establish platform-wide reliability standards, including service-level objectives, error budgets, capacity models, resilience patterns, and operational readiness requirements.
- Identify systemic risks and lead cross-functional programs that improve availability, scalability, performance, security, and developer productivity.
- Advance observability across complex distributed environments through OpenTelemetry, metrics, logs, traces, profiling, analytics, and automated anomaly detection.
- Partner with senior leaders and engineers across Cloud, Platform, Security, Networking, and AI/ML organizations to make high-impact architectural and investment decisions.
- Provide technical leadership during critical incidents and ensure that lessons from incidents translate into durable engineering and organizational improvements.
- Develop reference architectures, shared platform capabilities, and automation frameworks that can be adopted across multiple engineering organizations.
- Influence, mentor, and raise the technical bar for senior engineers and technical leaders throughout the company.
BASIC QUALIFICATIONS:
- 15+ years of experience in Site Reliability Engineering, Platform Engineering, Distributed Systems, Cloud Architecture, or related infrastructure engineering roles.
- BS or MS degree in Computer Science or a related technical field involving significant software development, or equivalent experience.
- Demonstrated experience setting technical strategy and leading large-scale engineering initiatives across multiple teams or organizations.
- Deep expertise in distributed systems architecture, networking, Linux, Kubernetes, and public cloud platforms such as AWS, Azure, or GCP.
- Strong proficiency in one or more programming languages such as Python, Go, TypeScript, JavaScript, or Java, with experience building production-grade automation and platform software.
- Extensive experience with infrastructure-as-code and platform automation technologies such as Terraform, Crossplane, AWS CDK, AWS CloudFormation, or equivalent tools.
- Deep understanding of observability at scale, including OpenTelemetry and modern metrics, logging, tracing, profiling, and analytics platforms.
- Expertise in reliability engineering practices, including service-level objectives, error budgets, capacity planning, fault tolerance, disaster recovery, incident management, and blameless postmortems.
- A track record of delivering measurable improvements in availability, performance, operational efficiency, or engineering productivity within complex environments.
- Outstanding technical judgment, communication, and collaboration skills, with the ability to influence senior stakeholders across technical and organizational boundaries.
PREFERRED QUALIFICATIONS:
- Experience designing or operating large-scale AI/ML platforms, GPU infrastructure, inference systems, training environments, or high-performance computing platforms.
- Hands-on experience building AI agents, agentic workflows, or intelligent automation for infrastructure and production operations.
- Demonstrated success establishing reliability architecture and engineering standards adopted across a large enterprise.
- Experience applying machine learning, analytics, or advanced automation to capacity management, anomaly detection, incident response, or autonomous remediation.
- Recognized technical leadership through patents, publications, open-source contributions, industry standards, conference presentations, or widely adopted internal platforms.
COMPENSATION
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 396,750 USD.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 12, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
See all 198+ E-3 Visa Sre Engineer Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Sre Engineer
Align your credentials to U.S. specialty occupation standards
Your Australian bachelor's degree in computer science or software engineering satisfies the E-3 visa degree requirement, but your resume must clearly map your SRE skills to the specific role. Vague titles like 'systems engineer' can complicate LCA job classification.
Target employers with active E-3 or LCA filing history
Search the DOL's foreign labor certification disclosure data to find companies that have filed LCAs for SRE or site reliability roles. Prior E-3 filings signal the employer already understands the process and won't need to be educated from scratch.
Address on-call and hybrid work arrangements before filing
SRE roles often involve multi-site or remote on-call responsibilities. The LCA must list the primary worksite, so clarify your employer's office location policy before filing to avoid a deficiency notice from the DOL.
Get your offer letter to specify degree field requirements
The E-3 requires that the role theoretically requires a relevant degree, not just that you happen to have one. Ask your employer to include the required field of study in your offer letter before the LCA is filed.
Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork
LCA filing, DS-160 preparation, and consulate scheduling involve tight sequencing that's easy to misorder. Migrate Mate's E-3 filing service manages the entire process from offer to consulate appointment so nothing slips between stages.
Book your consulate appointment as soon as LCA certification arrives
The DOL certifies LCAs within seven working days. Schedule your Australian consulate appointment immediately after certification, since appointment slots in Sydney and Melbourne can book out several weeks, affecting your U.S. start date.
E-3 Visa Sre Engineer: Frequently Asked Questions
How do I find SRE Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. You can filter SRE Engineer positions by companies that have E-3 or LCA filing history, which removes the guesswork of cold-applying to employers unfamiliar with the visa. Generic job boards don't surface sponsorship willingness the same way.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does an SRE Engineer role qualify as a specialty occupation for the E-3?
Yes. SRE engineering roles consistently qualify as specialty occupations because they require at minimum a bachelor's degree in computer science, software engineering, or a closely related field. The job duties must genuinely require that degree, so roles that accept any degree or substitute equivalent experience without a degree can face scrutiny during LCA review.
How does the E-3 compare to the H-1B for SRE engineers?
The E-3 has a 10,500 annual allocation that has never been fully used, and there's no lottery. The H-1B is capped at 85,000 per year with a competitive lottery that rejects most registrants. For an Australian SRE engineer, the E-3 means a predictable, employer-controlled timeline rather than waiting on a random draw that may never come.
Can I change employers while on an E-3 as an SRE engineer?
Yes, but each new employer must file a new LCA and you need a new E-3 visa stamp reflecting the new role before re-entering the U.S. from outside the country. If you're already in the U.S., you can begin working for the new employer once the new LCA is certified, but you'll need the updated visa stamp at your next international trip.